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@PrincetonUniversity @Technical-Bootcamp

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Anusha3002/README.md
Typing animation

Anusha's GitHub Marginalia

I can’t go two days without coding, or I forget my 35 years of experience. (I’m 24.)

NYU Books Owned Books Read


Prologue 🕯️

A girl from the planet Earth learned that compilers throw errors and dragons can throw blue fire, and decided she liked both. Now she studies CS at NYU Courant and builds things with ML, embedded systems, and an unreasonable amount of vanilla latte.

"I'll just read one chapter" — oh, the lies I tell myself at 11 PM.


My Library

Only 6,457 books. I have self-control.

A shelf of my most re-read books out of the 6,457 books

Choose Your Path

🚪 I'm a recruiter / hiring manager
  • 🎓 MS in Computer Science @ NYU Courant (Spring 2027)
  • 🛠️ ML/AI engineering, embedded systems, SWE.
  • 💼 Summer'26 interned @Qualcomm, previously a Software engineer @Bridgeline Digital in NYC, and before that I co-founded an IT consultancy.
  • 📬 Send a raven

Yes, yes, I know the README is whimsical. The code is not. It has linting and everything.

🚪 I just want book recommendations

Oh, you kindred spirit. My shelf leans mostly towards fantasy: big worlds, complicated magic systems, and characters who make terrible decisions, aka rage-baiting you. Tell me what you love, and I'll tell you what to read next. I do read some fantastic non-fiction books as well; my latest read was Algorithms to Live By, by Brian Christian and Tom Griffiths.


The Commit Ledger

GitHub is a pure aura-farming place, and I don't have any. Yet. Tsk, tsk, tsk.

My real commits versus the commits that only happened in my head

Side-Quest Log

Quest Status Spoils
Sigyl In progress Computer Vision Gaming Project coming soon
QuantIAN Completed a multi-cloud, peer-to-peer financial analytics platform

Send a Raven

Ravens are super slow, and email is faster, but the raven aesthetic? tsk tsk non-negotiable.

LinkedIn Instagram Email

Thank you for spending 2.5 minutes of your life. There's always a sequel coming up soon :)

Pinned Loading

  1. langchain langchain Public

    Forked from langchain-ai/langchain

    Building applications with LLMs through composability

    Python

  2. skills-copilot-codespaces-vscode skills-copilot-codespaces-vscode Public

    My clone repository

    JavaScript

  3. Adversarial-ML Adversarial-ML Public

    Proposed DeepLDA, a novel LDA-based loss function integrated into CNNs/DNNs that improves adversarial robustness with minimal architectural changes. Evaluated across MNIST, CIFAR-10, and SVHN again…

    Python

  4. Pico-LLM Pico-LLM Public

    [ML Team project] Built three autoregressive language models from scratch in PyTorch (k-gram MLP, LSTM, and Transformer with self-attention and KV-cache decoding). Designed a complete training and …

    Jupyter Notebook

  5. QuantIAN QuantIAN Public

    Semester project for Cloud Applications Development & Deployment. Part I focuses on lift-and-shift migration of a legacy Oracle ADF application to cloud infrastructure. Part II involves designing a…

    Python 1

  6. sigyl sigyl Public